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Liquid water composite model

The factors 4 and 4 accormt for the heterogeneity of the interface. The interfacial flux conditions. Equations (6.56) and (6.57), can be straightforwardly applied at plain interfaces of the PEM with adjacent homogeneous phases of water (either vapor or liquid). However, in PEFCs with ionomer-impregnated catalyst layers, the ionomer interfaces with vapor and liquid water are randomly dispersed inside the porous composite media. This leads to a highly distributed heterogeneous interface. An attempt to incorporate vaporization exchange into models of catalyst layer operation has been made and will be described in Section 6.9.4. [Pg.403]

The challenge for modeling the water balance in CCL is to link the composite, porous morphology properly with liquid water accumulation, transport phenomena, electrochemical kinetics, and performance. At the materials level, this task requires relations between composihon, porous structure, liquid water accumulation, and effective properhes. Relevant properties include proton conductivity, gas diffusivihes, liquid permeability, electrochemical source term, and vaporizahon source term. Discussions of functional relationships between effective properties and structure can be found in fhe liferafure. Because fhe liquid wafer saturation, 5,(2)/ is a spatially varying function at/o > 0, these effective properties also vary spatially in an operating cell, warranting a self-consistent solution for effective properties and performance. [Pg.415]

This review has highlighted the important effects that should be modeled. These include two-phase flow of liquid water and gas in the fuel-cell sandwich, a robust membrane model that accounts for the different membrane transport modes, nonisothermal effects, especially in the directions perpendicular to the sandwich, and multidimensional effects such as changing gas composition along the channel, among others. For any model, a balance must be struck between the complexity required to describe the physical reality and the additional costs of such complexity. In other words, while more complex models more accurately describe the physics of the transport processes, they are more computationally costly and may have so many unknown parameters that their results are not as meaningful. Hopefully, this review has shown and broken down for the reader the vast complexities of transport within polymer-electrolyte fuel cells and the various ways they have been and can be modeled. [Pg.483]

Second, the composite hat-curved-harmonic oscillator model provides a good perspective for a spectroscopic investigation of ice I (more precisely, of ice Ih), which is formed at rather low pressure near the freezing point (0°C). The molecular structure of ice I evidently resembles the water structure. Correspondingly, well-known experimental data show a similarity of the FIR spectra (unlike the low-frequency spectra) recorded in liquid water and in ice Ih. This similarity suggests an idea that rotational mobility does not differ much in... [Pg.82]

Third, the success of the composite HC-SD model described in Section IX implies the idea that liquid water presents as if a solution of two components. The main one comprises 95% of molecules (librators), which reorient rather freely in a deep potential well and are characterized by a broken H-bond. The second component comprises 5% of molecules, which are H-bonded and perform fast vibration. Molecules of the first group live much longer than those of the second group. Thus a physical sense of the HC model is clarified in Section X as that describing dielectric response of dipoles with broken H-bonds. [Pg.83]

Figure 41. The scheme pertaining to the composite hat-curved—harmonic oscillator model the contributions of various mechanisms of dielectric relaxation to broadband spectra arising in liquid water. Frequency v is given in cm-1. Figure 41. The scheme pertaining to the composite hat-curved—harmonic oscillator model the contributions of various mechanisms of dielectric relaxation to broadband spectra arising in liquid water. Frequency v is given in cm-1.
Figure 66. Absorption coefficient of liquid water versus frequency. Calculation for the composite model is depicted by solid lines, and experimental spectra [17, 51, 54] are depicted by dashed lines. Figure 66. Absorption coefficient of liquid water versus frequency. Calculation for the composite model is depicted by solid lines, and experimental spectra [17, 51, 54] are depicted by dashed lines.
Nitric acid is a strong electrolyte. Therefore, the solubilities of nitrogen oxides in water given in Ref. 191 and based on Henry s law are utilized and further corrected by using the method of van Krevelen and Hofhjzer (77) for electrolyte solutions. The chemical equilibrium is calculated in terms of liquid-phase activities. The local composition model of Engels (192), based on the UNIQUAC model, is used for the calculation of vapor pressures and activity coefficients of water and nitric acid. Multicomponent diffusion coefficients in the liquid phase are corrected for the nonideality, as suggested in Ref. 57. [Pg.381]


See other pages where Liquid water composite model is mentioned: [Pg.107]    [Pg.204]    [Pg.292]    [Pg.108]    [Pg.412]    [Pg.417]    [Pg.443]    [Pg.473]    [Pg.460]    [Pg.479]    [Pg.488]    [Pg.80]    [Pg.232]    [Pg.321]    [Pg.327]    [Pg.48]    [Pg.123]    [Pg.143]   


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